MASS_mvrnorm: Multivariate Normal (Gaussian) Distribution

In transforEmotion: Sentiment Analysis for Text, Image and Video using Transformer Models

Multivariate Normal (Gaussian) Distribution

Description

This function generates a random sample from the multivariate normal distribution with mean mu and covariance matrix Sigma.

Usage

MASS_mvrnorm(n = 1, mu, Sigma, tol = 1e-06, empirical = FALSE, EISPACK = FALSE)

Arguments

n	Numeric integer. The number of observations to generate.
mu	Numeric vector. The mean vector of the multivariate normal distribution.
Sigma	Numeric matrix. The covariance matrix of the multivariate normal distribution.
tol	Numeric. Tolerance for checking the positive definiteness of the covariance matrix.
empirical	Logical. Whether to return the empirical covariance matrix.
EISPACK	Logical. Whether to use the EISPACK routine instead of the LINPACK routine.

Value

A (n X p) matrix of random observations from the multivariate normal distribution. Updated: 26.10.2023.

transforEmotion documentation built on Sept. 11, 2024, 9:26 p.m.